OREILLY_MINING_THE_SOCIAL_WEB_LINKEDIN_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
364,53 MB
Files
10
Date
2017-07-23

NFO


░ ░▒▒▒▓▓█████▌░░ University of OXford & University of camBRiDGE ░░▐████▓▓▒▒▒░ ░
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  ...is a collective term for characteristics that the two institutions share.


     █ Mining the Social Web - LinkedIn                                   
     █                                                          
     ▄
     █ by Mikhail Klassen                                                
     █ Publisher: Infinite Skills                                        
     ▓ Release Date: July 2017                                           
     ▓ ISBN: 9781491989814                                                
     ▒ Running time: 00:38:04                                             
     ▒ Topic: Social Media                                                 
     ░ Scale: 08x50mb     
     ░ Downloads: (■) Included ( ) Without
     ░                                                      
     ░ Lecture Date: 07/2017          
     ░ Lecture Link: https://goo.gl/Cpu1eu                
     ░
     :
     | LinkedIn is the largest professional social network in the world   
     | and is used by millions of job seekers, employers, recruiters, and 
     | other professionals. How can we mine this data to gain deeper      
     | insights into our professional networks? Based on content from     
     | Matthew Russell's book "Mining the Social Web" (O'Reilly), this    
     | course shows you how to access and download LinkedIn data; as well 
     | as how to perform clustering analysis and geographic analysis, and 
     | how to visualize data in new and informative ways. The course      
     | works best for learners with some basic Python experience.         
     |                                                                    
     | Understand how to access LinkedIn using the LinkedIn API and       
     | Python                                                             
     | Learn how to download your own LinkedIn data and access your       
     | connections                                                        
     | Explore techniques for dealing with messy data like similar titles 
     | or job descriptions                                                
     | Discover methods for clustering your contacts into similar jobs or 
     | grouping them by geography                                         
     | Learn how to produce intuitive data visualizations and output      
     | geographic data to Google Earth                                    
     ,
     

Files

PathSize
ox_omtswltelg.r0047,68 MB
ox_omtswltelg.r0147,68 MB
ox_omtswltelg.r0247,68 MB
ox_omtswltelg.r0347,68 MB
ox_omtswltelg.r0447,68 MB
ox_omtswltelg.r0547,68 MB
ox_omtswltelg.r0630,74 MB
ox_omtswltelg.rar47,68 MB
ox_omtswltelg.sfv224 B
oxbridge.nfo2,99 KB